I wonder why people are more eager to pool money to pay a corporate-owned computer to build things than to the actual humans who have been building open source for decades? Much of which has ended up in the training set?
I wonder why people are more eager to pool money to pay a corporate-owned computer to build things than to the actual humans who have been building open source for decades? Much of which has ended up in the training set?
Exactly. This screams crowdfunding for AI labs. Who made this? Someone at Anthropic?
Humans are more expensive.
Humans can also use LLM's even a local LLM
That's even more expensive.
Fablepool spends Anthropic's inference budget and puts the output under MIT, thats not growing Anthropic's moat, its commoditizing it. Anthropic just sells the API calls either way.
LLM output is just very predictable. If you spend 200$ on that /goal you will get some output. It may or may not work perfectly, but there will be a repo with some progress. If you specced the goal well and it is feasible, a decent model will most likely get you decent progress.
Also who would take on any of these projects for a meager 200$? Most of that stuff is borderline interesting, clearly not interesting enough for the people proposing the things to start working on them themselves.